Build > SaaS for Clinical Trials
Patient-centric clinical trial software to manage large studies with ease.
CliniFeel is a software-as-a-service clinical trials platform enhancing patient engagement and data management efficiency.
$930M
Estimated Market Size
71%
Level of Defensibility
277 Days
Predicted Level of Effort
Suggested Product Name
CliniFeel
Problem
Existing clinical trials software often struggles with handling large datasets efficiently, lacks flexibility for complex task execution, and has cumbersome data management and validation processes.
Solution & Vision
CliniFeel is transforming the landscape of clinical trials management by addressing inefficiencies in data management and patient engagement. By leveraging cutting-edge technology, our platform optimizes the handling of large data sets and streamlines complex processes, enabling researchers to focus on groundbreaking medical discoveries.
Position
CliniFeel is the only mondern clinical tirals software designed to save research teams time and handle large data sets.
Business Model & Goals
CliniFeel will adopt a SaaS model, charging research institutions and pharma companies a monthly fee of $500 per active clinical trial. To achieve a $1 million revenue goal in the initial year, CliniFeel will need to manage 166 trials per month. We expect an average of 1000 patients per trial based on industry data volumes, totaling around 166,000 users, with 15% estimated to be simultaneous due to varying global time zones and work schedules.
Target Audience
👩🔬 Clinical Trial Researchers:
Demographics: Intended for research scientists, data managers, and clinical coordinators primarily within pharmaceutical companies and academic research institutions.
Behavioral Characteristics: Seek efficient, reliable tools for managing complex data and patient interactions in clinical trials. High emphasis on accuracy, compliance with regulatory standards, and operational efficiency.
Needs: High-performance data management, effective patient engagement tools, streamlined data entry, and robust data validation functionalities.
👨👩👧👦 Clinical Trial Participants:
Demographics: Patients enrolled in clinical trials, varying widely in age, health condition, and technological proficiency.
Behavioral Characteristics: Need simple, intuitive interactions with technology due to varying health statuses and potentially limited tech experience.
Needs: Ease of use in mobile applications, clear communication channels with researchers, and privacy of their personal and health data.
Differentiators
Adaptive Data Engine: CliniFeel will incorporate an adaptive data engine capable of dynamically optimizing data handling and processing based on the current needs and the volume of data. This feature is specifically designed to address the pain point of performance issues with large data sets, ensuring swift navigation and management even as data scales.
Flexible Form Designer with AI Assistance: To tackle the limitations in data validation and form building, CliniFeel will introduce a flexible form designer equipped with AI capabilities. This tool will suggest validation rules and adjustments in real-time based on the data entered and historical trial data trends, making the form creation process more intuitive and efficient.
Real-Time Collaborative Protocol Adjustment: Recognizing the need for adaptability in clinical trials, CliniFeel will offer a feature enabling real-time, collaborative protocol adjustments. This functionality allows clinical trial teams to modify protocols swiftly and ensure all participants are updated instantly through the mobile app, reducing downtime and enhancing protocol adherence.
Top Reported Pain Points
The above report was generated by scanning customer feedback and computing a weighted average of the most-reported pain points. These are as follows.
| Pain | Problem |
|---|---|
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Performance Issues with Large Data Sets Slow performance when handling large datasets (over 800 patients), significantly impacting usability during data navigation. |
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Limited Flexibility and Lack of Complex Features The system’s simplicity limits complex task execution, seriously affecting advanced users needing detailed data manipulation. |
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Data Validation and Form Building Limitations Users find the validation rules limiting, and the form building lacks features like “apply all,” creating inefficiencies and frustration in data management operations. |
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Issues with Re-Enrollment and Data Correction If there is an error in participant data (e.g., contact information), the system requires complete re-enrollment instead of allowing simple corrections, leading to significant delays and user dissatisfaction. |
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Cumbersome Navigation and Management of Data Navigating and managing data within events or after multiple events is described as hard, impacting user efficiency and increasing the risk of errors. |
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Inconvenient Query and Data Access Audit trails and data queries are hard to access and manage, making data verification processes less efficient and increasing workload on users. |
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Time-Consuming Data Entry and Export Issues Users find data entry slow and repetitive, and report export features lacking, leading to increased operational time and hindering effective data analysis. |
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Suboptimal Data Sorting and Customization Limited sorting functions and customization options for data presentation and organization, reducing usability and user control over data management. |
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Lack of Real-Time Data Comparisons and Updates
Users need better support for real-time data comparison and immediate updates, impacting decision-making processes and responsiveness in study management. |
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Inflexibility in Adjusting to Protocol Changes
Difficulty in adapting the system quickly to protocol amendments, affecting study progress and compliance with trial requirements. |
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